Bioinformatics Analysis of Novel Targets for Treating Cervical Cancer by Immunotherapy Based on Immune Escape.

IF 2.6 4区 医学 Q2 GENETICS & HEREDITY
Ying-Hao Han, DA-Yu Ma, Seung-Jae Lee, Ying-Ying Mao, Shuai-Yang Sun, Mei-Hua Jin, Hu-Nan Sun, Taeho Kwon
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引用次数: 0

Abstract

Background/aim: Cervical cancer (CC) is a high-risk disease in women, and advanced CC can be difficult to treat even with surgery, radiotherapy, and chemotherapy. Hence, developing more effective treatment methods is imperative. Cancer cells undergo a renewal process to escape immune surveillance and then attack the immune system. However, the underlying mechanisms remain unclear. Currently, only one immunotherapy drug has been approved by the Food and Drug Administration for CC, thus indicating the need for and importance of identifying key targets related to immunotherapy.

Materials and methods: Data on CC and normal cervical tissue samples were downloaded from the National Center for Biotechnology Information database. Transcriptome Analysis Console software was used to analyze differentially expressed genes (DEGs) in two sample groups. These DEGs were uploaded to the DAVID online analysis platform to analyze biological processes for which they were enriched. Finally, Cytoscape was used to map protein interaction and hub gene analyses.

Results: A total of 165 up-regulated and 362 down-regulated genes were identified. Among them, 13 hub genes were analyzed in a protein-protein interaction network using the Cytoscape software. The genes were screened out based on the betweenness centrality value and average degree of all nodes. The hub genes were as follows: ANXA1, APOE, AR, C1QC, CALML5, CD47, CTSZ, HSP90AA1, HSP90B1, NOD2, THY1, TLR4, and VIM. We identified the following 12 microRNAs (miRNAs) that target the hub genes: hsa-miR-2110, hsa-miR-92a-2-5p, hsa-miR-520d-5p, hsa-miR-4514, hsa-miR-4692, hsa-miR-499b-5p, hsa-miR-5011-5p, hsa-miR-6847-5p, hsa-miR-8054, hsa-miR-642a-5p, hsa-miR-940, and hsa-miR-6893-5p.

Conclusion: Using bioinformatics, we identified potential miRNAs that regulated the cancer-related genes and long noncoding RNAs (lncRNAs) that regulated these miRNAs. We further elucidated the mutual regulation of mRNAs, miRNAs, and lncRNAs involved in CC occurrence and development. These findings may have major applications in the treatment of CC by immunotherapy and the development of drugs against CC.

基于免疫逃逸的免疫治疗宫颈癌新靶点的生物信息学分析。
背景/目的:宫颈癌(CC)是女性的高危疾病,晚期CC即使采用手术、放疗和化疗也难以治疗。因此,开发更有效的治疗方法势在必行。癌细胞经历了一个更新过程,以逃避免疫系统的监视,然后攻击免疫系统。然而,潜在的机制仍不清楚。目前,美国食品和药物管理局仅批准了一种用于CC的免疫治疗药物,这表明确定与免疫治疗相关的关键靶点的必要性和重要性。材料和方法:CC和正常宫颈组织样本的数据从国家生物技术信息中心数据库下载。使用转录组分析控制台软件分析两组样本的差异表达基因(DEGs)。这些基因被上传到DAVID在线分析平台,用于分析它们富集的生物过程。最后,Cytoscape用于绘制蛋白质相互作用图和枢纽基因分析。结果:共鉴定出165个上调基因和362个下调基因。其中,13个枢纽基因在蛋白-蛋白相互作用网络中使用Cytoscape软件进行分析。根据各节点间中心性值和平均度筛选基因。中心基因为:ANXA1、APOE、AR、C1QC、CALML5、CD47、CTSZ、HSP90AA1、HSP90B1、NOD2、THY1、TLR4、VIM。我们确定了以下12个靶向枢纽基因的microrna (mirna): hsa-miR-2110, hsa-miR-92a-2-5p, hsa-miR-520d-5p, hsa-miR-4514, hsa-miR-4692, hsa-miR-499b-5p, hsa-miR-5011-5p, hsa-miR-6847-5p, hsa-miR-8054, hsa-miR-642a-5p, hsa-miR-940和hsa-miR-6893-5p。结论:利用生物信息学技术,我们鉴定出了调控癌症相关基因的潜在miRNAs和调控这些miRNAs的长链非编码rna (lncRNAs)。我们进一步阐明了参与CC发生和发展的mrna、mirna和lncrna之间的相互调控。这些发现可能在通过免疫疗法治疗CC和开发针对CC的药物方面具有重要应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Genomics & Proteomics
Cancer Genomics & Proteomics ONCOLOGY-GENETICS & HEREDITY
CiteScore
5.00
自引率
8.00%
发文量
51
期刊介绍: Cancer Genomics & Proteomics (CGP) is an international peer-reviewed journal designed to publish rapidly high quality articles and reviews on the application of genomic and proteomic technology to basic, experimental and clinical cancer research. In this site you may find information concerning the editorial board, editorial policy, issue contents, subscriptions, submission of manuscripts and advertising. The first issue of CGP circulated in January 2004. Cancer Genomics & Proteomics is a journal of the International Institute of Anticancer Research. From January 2013 CGP is converted to an online-only open access journal. Cancer Genomics & Proteomics supports (a) the aims and the research projects of the INTERNATIONAL INSTITUTE OF ANTICANCER RESEARCH and (b) the organization of the INTERNATIONAL CONFERENCES OF ANTICANCER RESEARCH.
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